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Pseudo-random Number Generation Algorithm for Dynamically Perturbated Enhanced Chaotic Systems

2025 5th International Conference on Electronic Information Engineering and Computer Science (EIECS)
Aiming at the shortcomings of traditional pseudorandom number generation (PRNG) methods in high-security applications, this paper proposes a hybrid model based on the combination of Logistic mapping and Lorenz chaotic system to construct a new PRNG ...
Meng Xia, Ying Zhang
semanticscholar   +1 more source

Generating Pseudorandom Numbers

1996
Every Monte Carlo experiment relies on the availability of a procedure that supplies sequences of numbers from which arbitrarily selected nonoverlapping subsequences appear to behave like statistically independent sequences and where the variation in an arbitrarily chosen subsequence of length k (≥1) resembles that of a sample drawn from the uniform ...
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Pseudorandom number generation derived from Josephson junction stimulated by Wien bridge oscillator embedded in the microcontroller

Pramana (Bangalore), 2023
B. Sriram   +4 more
semanticscholar   +1 more source

Pseudorandom Number Generation

2001
Chapter 8 reveals that every algorithm that generates a sequence of i.i.d. random samples from a probability distribution as output requires a sequence of i.i.d. random samples from u(0, 1) as input. To meet this need, every discrete-event simulation programming language provides a pseudorandom number generator that produces a sequence of nonnegative ...
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Fortran Tausworthe pseudorandom number generator

Communications of the ACM, 1970
Intermediate computations in an “Extremely Portable Random Number Generator” by J. B. Kruskal [ Comm. ACM 12 , 2 (Feb. 1969), 93-94] exceed 15 bits plus sign. This is a severe limitation since the majority of small computers uses a 16 bit (15 bits plus sign) word or less.
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A tradeoff paradigm shift in cryptographically-secure pseudorandom number generation based on discrete logarithm

Journal of Information Security and Applications, 2023
Takeshi Koshiba   +2 more
semanticscholar   +1 more source

Hardware Architecture of a Digital Piecewise Linear Chaotic Map with Perturbation for Pseudorandom Number Generation

AEU - International Journal of Electronics and Communications, 2022
Venkata Reddy Kopparthi   +5 more
semanticscholar   +1 more source

Engineering Nonlinear Pseudorandom Number Generators

2014
In the era of multi and many-core processors, computer simulations increasingly require parallel, small and fast pseudorandom number generation. Although linear generators lend themselves to a simpler evaluation that ensures favorable properties like guaranteed period, they may adversely affect the result of simulations or be quite large.
Samuel Neves, Filipe Araújo
openaire   +2 more sources

A New Nonlinear Pseudorandom Number Generator

IEEE Transactions on Software Engineering, 1977
During the next few years a new pseudorandom number generator will become available on many computer systems. A concern for the security of computer data has led to the adoption of a Data Encryption Standard (DES) by the National Bureau of Standards. This standard specifies a nonlinear cryptographic algorithm which can be used inter alia as a source of
openaire   +2 more sources

Adaptive Reconfigurable LFSR: Dynamic Tapping and Reseeding for Enhanced Pseudo Random Number Generation

2024 IEEE International Students' Conference on Electrical, Electronics and Computer Science (SCEECS)
The paper presents a reconfigurable Linear Feedback Shift Register (LFSR) that has the capacity to reseed and is composed of a seed generator circuit which is a 4-bit LFSR. The size of the pseudorandom pattern generator is 64 bit.
Murchana Saikia, Bhawna P. Shrivastava
semanticscholar   +1 more source

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